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TSLA
View on CRAN: Click
here
Download and install TSLA package within the R console
Install from CRAN:
install.packages("TSLA")
Install from Github:
library("remotes")
install_github("cran/TSLA") Install by package version:
library("remotes")
install_version("TSLA", "0.1.2") Attach the package and use:
library("TSLA")
Maintained by
Jianmin Chen
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-10
Latest Update: 2025-03-17
Description:
Implementation of the tree-guided feature selection and logic aggregation approach introduced in Chen et al. (2024) <doi:10.1080/01621459.2024.2326621>. The method enables the selection and aggregation of large-scale rare binary features with a known hierarchical structure using a convex, linearly-constrained regularized regression framework. The package facilitates the application of this method to both linear regression and binary classification problems by solving the optimization problem via the smoothing proximal gradient descent algorithm (Chen et al. (2012) <doi:10.1214/11-AOAS514>).
How to cite:
Jianmin Chen (2025). TSLA: Tree-Guided Rare Feature Selection and Logic Aggregation. R package version 0.1.2, https://cran.r-project.org/web/packages/TSLA. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.1 (2025-02-10 12:30)
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